Developer

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springboot-verification is an AI Agent skill that runs an automated verification loop for Spring Boot projects. It orchestrates a pipeline including build commands (Maven/Gradle), static analysis, tests with coverage validation, security scans, and a diff review before a release or pull request.

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project-guidelines-example is an AI agent skill template based on Zenith's production AI-powered customer discovery platform. It provides developers with project-specific guidelines including architecture overview, file structure, code patterns, testing requirements, and deployment workflows.

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coding-standards is an AI Agent skill that delivers universal coding standards, best practices, and patterns for TypeScript, JavaScript, React, and Node.js development to ensure code quality and maintainability.

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cost-aware-llm-pipeline is an AI Agent Skill that provides cost optimization patterns for LLM API usage. It combines model routing by task complexity, budget tracking, retry logic, and prompt caching into a composable pipeline for developers.

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django-security is an AI agent skill that delivers expert guidance on Django security best practices. It helps developers implement authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and configure production security settings.

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docker-patterns is a collection of Docker and Docker Compose best practices for local development, container security, and multi-service orchestration.

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liquid-glass-design is an AI agent skill providing implementation patterns for Apple's iOS 26 Liquid Glass design system. It covers creating dynamic glass materials with content blur, environmental reflection, and touch-responsive morphing across SwiftUI, UIKit, and WidgetKit frameworks.

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regex-vs-llm-structured-text is a practical decision framework for parsing structured text using regex and LLM, handling 95-98% of cases cheaply and deterministically.

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tdd-workflow is an AI Agent Skill designed for Claude that enforces a strict Test-Driven Development methodology. It mandates writing tests before implementing code and ensures a minimum of 80% test coverage across unit, integration, and end-to-end (E2E) test types.

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backend-patterns is a set of techniques for designing and implementing efficient server-side architectures, including REST and GraphQL API endpoints

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content-hash-cache-pattern is an MCP skill that caches expensive file processing results using SHA-256 content hashes as cache keys. This provides a path-independent cache that survives file moves/renames and automatically invalidates when file content changes.

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django-tdd is a testing strategy for Django applications that utilizes TDD methodology, pytest-django, and factory_boy for efficient and robust testing of Django models, views, and serializers.